Visualisation Engineer - Minerva Platform

Job Title: Visualisation Engineer - Minerva Platform
Duration: 6 Months
Location: Telford, Hybrid - 2 days per week on site
Clearance Required: Active SC Cleared (preferably HMRC)
Rate: £500 per day - PAYE via Umbrella only

Skills: SAS, SAS Viya, Jira, Engineering, Pentaho, Denodo, Talend, SAS Web Report Studio
This role will form part of a new scrum team within Minerva Platform to develop and deliver the Ingestion and Risking within the SAS Platform including IDP.

Key Responsibilities:

• Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS.
• Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms.
• Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions.

• Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement.
• Drive DevOps practices for CI/CD, automated testing, and deployment of data services.
• Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
• Ensure data quality, governance, and security standards are upheld across all solutions.
• Troubleshoot and resolve complex data issues and performance bottlenecks.

Key Skills:

• SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI).
• Platform LSF, Jira, Platform Support.
• GIT.
• Strong expertise in ETL tools: Pentaho, Talend.
• Experience with data virtualisation using Denodo.
• Proficiency in SAS for data analytics and reporting.
• Oracle (good to have).
• Solid understanding of Agile and Scrum frameworks.
• Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes).
• Strong SQL and data modelling skills.
• Excellent problem-solving, communication, and leadership abilities.

Key Qualifications:

• Proven track record of data projects and teams.
• Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.